We report inference latency and accuracy of various PPNN architectures, layer numbers, rescaling operation numbers, and RNS-CKKS parameters (i.e., polynomial degree \(N\)  and modulus size \(Q\) ) in Table REF  and REF . The datasets of CIFAR-10 and CIFAR-100 use the same PPNN architecture but with different weight filter numbers. EVA [1]} is the SOTA FHE compiler that can convert a plaintext network model to a RNS-CKKS-based PPNN model. We compare HEMET against EVA [1]} on the datasets of CIFAR-10 and CIFAR-100 by various network architectures. Table REF  and REF  show the comparison between EVA and HEMET on SqueezeNet and InceptionNet, respectively.
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